Skip to main content

Kean University

Robert Domanski, Ph.D., is the New York City government’s Director of Higher Education for the Mayor’s Tech Talent Pipeline industry partnership. Rob oversees the “CUNY 2x Tech” initiative – a $20 million dollar investment in the City University of New York (CUNY) to double the university’s number of Computer Science graduates within 5 years – which has the dual goals of economic development and workforce development: building the local pool of tech talent to grow the NYC tech industry and connecting New Yorkers to high-quality tech jobs.

Additionally, Rob oversees the City's Tech Academic Council, working with the Presidents and Provosts of NYC-based colleges and universities to determine how best to align the Mayor’s goals with the needs of the City's academic institutions.

Rob is also currently teaching as an adjunct instructor for Kean University and is a former professor of both Computer Science and Political Science for the City University of New York. He is the author of "Who Governs the Internet? A Political Architecture" and his academic research focuses on Digital Government, Internet Governance, and the Politics of Algorithms. He has most recently published on the specific subtopics of Blockchain, Algorithmic Bias, and Artificial Intelligence from technical, policy, and ethical perspectives.

Courses Taught

  • Web Client-side Programming
  • Python Programming

Selected Publications

Domanski, Robert J. Who governs the Internet?: A political architecture. Lexington Books, 2015. https://www.amazon.com/Who-Governs-Internet-Political-Architecture/dp/1498512720/

Domanski, Robert J. "Pedagogical best practices for teaching foundational computer science courses in alignment with employer technical interviews." Journal of Computing Sciences in Colleges 36.8 (2021): 109-112. http://www.ccsc.org/publications/journals/NE2021.pdf#page=109

Domanski, Robert. "The AI pandorica: linking ethically-challenged technical outputs to prospective policy approaches." Proceedings of the 20th Annual International Conference on Digital Government Research. 2019. https://dl.acm.org/doi/abs/10.1145/3325112.3325267